■ Features

▲ Mobile and flexible, supporting two modes of on-site detection and remote online monitoring.

▲ It supports simultaneous operation of multiple diagnostic terminals in one station area, which improves the collection rate and data timeliness.

▲ Supports online monitoring of multiple stations and asynchronous transmission of multi-threaded data.

▲ Supports big data batch analysis, accurately judges typical power theft methods such as wrong wiring method, shunt method, undervoltage method, meter modification method, etc., generates suspected power theft abnormal analysis results, predicts power theft methods, and estimates power loss , Summarize statistical reports on suspected electricity theft.

▲ Support the continuous monitoring and follow-up diagnosis of key suspected electricity thief households, accumulatively capture relevant electricity theft information, obtain more and more complete electricity theft evidence, provide judgment basis and direction for on-site inspectors to obtain electricity theft evidence, and provide for the recovery of electricity charges and fines Data support.

▲ Support meter reading program to customize the meter data items, such as: communication address, total active energy, three-phase voltage, three-phase current, neutral current, voltage loss, current loss, open cover record, etc.

▲ It supports four-level early warning (red I yellow II blue III brown IV) for suspected electricity theft and meter failure, and can automatically alert key suspects.

▲ Supports the independent operation of the diagnostic platform system, does not conflict with the "use and acquisition" system, and has no data association, ensuring data security.

▲Comprehensive management of line losses in the station area of the Internet of Things model has been realized, fundamentally changing working methods, improving work efficiency, reducing losses and increasing efficiency.

■ Technical parameters